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A VNS-based Heuristic for Feature Selection in Data Mining

Antonio Mucherino 1 Leo Liberti 2
1 GenScale - Scalable, Optimized and Parallel Algorithms for Genomics
Inria Rennes – Bretagne Atlantique , IRISA-D7 - GESTION DES DONNÉES ET DE LA CONNAISSANCE
2 X - École polytechnique
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https://hal.inria.fr/hal-00912692
Contributor : Antonio Mucherino Connect in order to contact the contributor
Submitted on : Monday, December 2, 2013 - 3:08:33 PM
Last modification on : Thursday, January 20, 2022 - 4:20:23 PM

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  • HAL Id : hal-00912692, version 1

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CNRS | INRIA | UNIV-RENNES1 | IRISA | IRISA-D7 | UR1-MATH-STIC | INSTITUT-TELECOM | UR1-UFR-ISTIC | UNIV-RENNES | X | INSA-RENNES | UR1-MATH-NUM | EC-PARIS

Citation

Antonio Mucherino, Leo Liberti. A VNS-based Heuristic for Feature Selection in Data Mining. Talbi, E-G. Hybrid Metaheuristics, Springer, pp.353-368, 2013. ⟨hal-00912692⟩

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